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Saacnicteh Toledo-Patino (MolBioEngLab) Profile
Saacnicteh Toledo-Patino (MolBioEngLab)

@SaacNicteh

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Principal Investigator | Buribushi Fellow @OISTedu working on Molecular Bioengineering & Evolution, @MaxPlanckAlumni, 🇲🇽🇩🇪🇯🇵🏳️‍🌈 🏳️

Okinawa-ken, Japan
Joined January 2020
Don't wanna be here? Send us removal request.
@SaacNicteh
Saacnicteh Toledo-Patino (MolBioEngLab)
12 days
We were happy to host Ibuki & Aya from #Keio University for the #OIST–KEIO Summer School! They learned to design proteins with #BindCraft & #RFDiffusion, express them in bacteria, and purify our stunning blue antenna proteins. 💙✨ #ProteinDesign #MolBioEng-lab #STEMeducation
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@Mattmcpartlon1
Matt McPartlon
19 days
This is the first time I've seen an inverse folding model that produces *convincingly* more designable sequences than ProteinMPNN. Nice work @richardwshuai and team!
@richardwshuai
Richard Shuai
21 days
Excited to share Caliby 🐈, our new model for structure-conditioned sequence design! Caliby is a Potts model-based sequence design method that can condition on structural ensembles. We use this to average out non-structural signal (e.g. evolutionary bias) learned by models 🧵1/N
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@BiologyAIDaily
Biology+AI Daily
2 months
Predicting Experimental Success in De Novo Binder Design: A Meta-Analysis of 3,766 Experimentally Characterised Binders 1. A new large-scale meta-analysis of 3,766 experimentally tested de novo protein binders targeting 15 diverse proteins reveals key insights into predicting
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@OISTedu
Okinawa Institute of Science and Technology (OIST)
2 months
[OIST] Visiting Program – Open Call for Visiting Scholars & Thematic Programs (All Fields) @OIST_TSVP Join us at OIST in Okinawa, Japan -  a unique, interdisciplinary university with no departments and a global community. See more details here:
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oist.jp
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@JeffDean
Jeff Dean
3 months
Colab Pro is now available for free for verified US students and faculty for one year.
@GoogleColab
Colaboratory
3 months
Big news for data science in higher ed! 🚀Colab now offers 1-year Pro subscriptions free of charge for verified US students/faculty, interactive Slideshow Mode for lectures, & an AI toggle per notebook. Enhance teaching & learning in the upcoming academic year! Read all about it
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@sokrypton
Sergey Ovchinnikov
4 months
Can we take a moment to acknowledge that everyone(?) on @Meta's superintelligence dream team (listed below) is an immigrant? 🌎🌍🌏
@alexandr_wang
Alexandr Wang
4 months
I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day. Towards superintelligence 🚀
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@SaacNicteh
Saacnicteh Toledo-Patino (MolBioEngLab)
4 months
‘Remarkable’ new enzymes built by algorithm with physics know-how
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nature.com
Nature - Computer approach creates synthetic enzymes 100 times more efficient than those designed by AI.
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@PNASNews
PNASNews
5 months
In this issue: Camouflage pigmentation in green arthropods, coral reef calcification and ocean carbon uptake, and how the summer solstice cues plant growth. In PNAS: https://t.co/SRdgMulWy3
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@sokrypton
Sergey Ovchinnikov
5 months
Nice! AlphaFold3 server added interactive pAE and chain division! Including option to download MSA. (Just noticed this when doing a tutorial today!)
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@OISTedu
Okinawa Institute of Science and Technology (OIST)
5 months
For students accepted or enrolled in the US: 5 days left to apply for our special admissions deadline (June 15th) ! #PhDProgram https://t.co/17MxIRb6ms
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@ml4proteins
Machine learning for protein engineering seminar
2 years
Our fall speaker schedule is live (now thru October)! We're looking forward to having a more diverse set of topics/speakers, so the cadence and times of seminars may differ from the spring. Sign up to get updates and copy invites to your calendar below! https://t.co/hBgfussOAP
ml4proteinengineering.com
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@redproteinas
REFEP
5 months
🧪 ¡Extendimos fechas! 🗓️ Tienes hasta el 1 de julio para: ✅ Pagar cuota reducida de inscripción ✅ Enviar tu resumen para presentación oral 📍 Zacatecas | 20–24 oct 2025 🔗 https://t.co/zlakMO0qkf #Proteínas2025 #CongresoFisicoquímica #Zacatecas2025
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@redproteinas
REFEP
5 months
¡Ya casi llega el IX Congreso de Fisicoquímica, Estructura y Diseño de Proteínas! 📍Zacatecas | 20 al 24 de octubre de 2025 ➡️ Regístrate pronto y obtén descuento en la inscripción https://t.co/zlakMO0qkf
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@pchaiyen
Pimchai Chaiyen
5 months
Happy to share our latest perspective on flavin-dependent halogenases. @NookKPrakinee discussed reactions and mechanisms of recently discovered halogenases. We also discussed non-native halogenase scaffolds and expansion of halogenase biocatalytic scopes. https://t.co/PGMC31R98d
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chemistry-europe.onlinelibrary.wiley.com
Recent research in flavin-dependent halogenases (FDHs) discovered the enzymes that enable unprecedented selective C─H halogenation and extended our understanding of diverse FDHs in nature. This...
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@isabellease
Isabelle Zane
5 months
Nobuhiko Tokuriki at #VariantEffect25
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@ProteinSociety
proteinsociety
5 months
Check out the recording of our latest webinar, and 33 other webinars hosted by The Protein Society. TPS webinars are always free to join and view. https://t.co/sSSp8WqYem
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@karlmehta
Karl Mehta
6 months
This is Demis Hassabis. He’s Google's DeepMind CEO, who’s studied AI for 30+ years. In his new interview with 60 Minutes, he revealed mind-blowing facts about health & AI that 99% of people wouldn’t know. Here are my top 8 takeaways: 🧵 (No. 6 will shock you)
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@ScienceMagazine
Science Magazine
6 months
In a new Science study, researchers estimate that as many as 1.4 billion people live in areas with soil dangerously polluted by heavy metals like arsenic, cadmium, cobalt, chromium, copper, nickel, and lead. The results reveal a global risk, but also a previously unrecognized
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@buildmodels
rcsb pdb 💉🧬💻🔬💊🌱🧠🦠
7 months
A new protein sequencing method, which uses a biological motor to pull a protein through a tiny nanopore, could revolutionise protein analysis. https://t.co/97NdnIo9So
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chemistryworld.com
Rapid sequencing technique can not only deal with proteins hundreds of amino acids long but can detect modifications
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@ginaelnesr
Gina El Nesr
7 months
Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict their dynamics? @HWaymentSteele and I are thrilled to share the first big, experimental datasets on protein dynamics and our new model: Dyna-1! 🧵
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